Information estimations and analysis of structures

In this paper are described the results of the information analysis of structures represented by graphs. The obtained information estimation (IE) are based on an entropy measure of C. Shannon. The orthogonal characteristics of the graphs are taken into account: vertexes and contours (paths for the graphs of the type “tree”). Obtained IE is univalent both for the non-isomorphic and for the isomorphic graphs, algorithmically, it is asymptotically steady and has vector character. These IE can be used for the solution of the problems ranking of structures by the preference, the evaluation of the structurization of subject area, the solution of the problems of structural optimization. Information estimations and method of the information analysis of structures it can be used in many fields of knowledge (Electrical Systems and Circuit, Image recognition, Computer technology, Databases and Bases of knowledge, Organic chemistry, Biology and others) and it can be base for the structure calculus.